z-logo
open-access-imgOpen Access
Multidimensional Structural Credit Modeling under Stochastic Volatility
Author(s) -
Marcos Escobar,
Tim Friederich,
Luis Seco,
Rudi Zagst
Publication year - 2013
Publication title -
isrn probability and statistics
Language(s) - English
Resource type - Journals
eISSN - 2090-472X
pISSN - 2090-4711
DOI - 10.1155/2013/851419
Subject(s) - stylized fact , stochastic volatility , econometrics , volatility (finance) , estimator , equity (law) , economics , credit risk , financial economics , actuarial science , mathematics , statistics , political science , law , macroeconomics
This paper extends the structural credit model with underlying stochastic volatility to a multidimensional framework. The model combines the Black/Cox framework with the Heston model interpreting the equity of a company as a down-and-out barrier call option on the company's assets. This implies a combination of local and stochastic volatility on the equity as well as other stylized features. In this paper, we allow for a correlation between the asset processes of different companies to incorporate dependency structures. An estimator for the correlation parameter is derived and tested in a recovery framework. With the help of this model, we examine the default risk of the two mortgage lenders Fannie Mae and Freddie Mac before their actual placement into federal conservatorship and show that their default risk severely increased during the financial crisis.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom